Mirrors the ASR backend pattern exactly: a BACKENDS dict in
tts/router.py maps a backend name to its worker URL, so adding the
next backend is just a new worker file + venv + supervisord entry +
one dict line. XTTS-v2 runs in its own venv (--system-site-packages,
inherits base image torch/CUDA) as a new supervisord program on
port 8005.
XTTS is zero-shot voice cloning, so a reference-voice library was
added (/tts/voices CRUD, stored under /srv/tts/voices) — synthesis
requires picking a previously uploaded voice. Results and model
cache live under /srv/tts/{results,models-cache}, new quadlet
volumes, owned by the same 983:983 user as the existing /srv/asr
dirs.
Fixed two environment issues uncovered while getting XTTS to
actually run inside the container (non-root user, root-built venvs):
- coqui-tts only pins transformers>=4.57 with no ceiling, so pip
installed an incompatible 5.x; pinned to the last 4.x release.
- HOME defaults to /app (owned by root) for the container's runtime
user, so numba/matplotlib/torch cache writes failed; HOME is now
forced to /tmp in all three workers (faster_whisper, qwen3, xtts)
before any of those libraries get imported.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The project now covers both ASR and TTS, so "asr-v2" no longer fits.
Renames: quadlet (asr-v2.container -> speech.container, container
name, image tag), build.sh, FastAPI/UI title, and the OIDC env var
prefix (ASR_V2_* -> SPEECH_*, matching the renamed Authentik
provider/application slug "speech"). Internal Python packages
(asr/, tts/, core/) were already named generically and don't change.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- faster-whisper, Qwen3-ASR, gateway 각 컴포넌트별 Python venv 분리
- 기본언어 한국어(ko)
- 처리내역 탭: 목록/상세/원본파일 재생/삭제
- 백엔드별 동적 모델 드랍다운
- /history, /uploads API 추가
- 기존 인스턴스(port 18100) 보존, 신규 port 18101
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
